RESEARCH ON THE HETEROGENEITY OF AIR QUALITY ANALYSIS DATA
DOI:
https://doi.org/10.34185/1991-7848.itmm.2026.01.096Keywords:
data heterogeneity, air monitoring, sensor wear, instrumental error, measurement reliability, pollutionAbstract
The paper examines time series of atmospheric air monitoring data obtained from three automated stations of the “Efir 1” series in the cities of Dnipro, Pavlohrad, and Nikopol for the period 2017–2025. The main focus is on identifying and analyzing irregularities caused by the degradation of the sensor base due to the end of their service life. The application of statistical methods allows for the separation of instrumental errors from actual changes in pollutant concentrations (NO₂, CO, SO₂, O₃, H₂S, particulate matter) while accounting for meteorological parameters. The results of the study will contribute to improving the reliability of environmental monitoring and the correct interpretation of long-term data under conditions of anthropogenic load.
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